Hadoop Usecase: Figting Spam in Big Data
A much more serious Hadoop use case:
Worldwide spam volumes this year are forecast to rise by 30% to 40% compared with 2009. Spam recently reached a record 92% of total email. Spammers have turned their attention to social media sites as well. In 2008, there were few Facebook phishing messages; Facebook is now the second most phished organization online. Even though Twitter has managed to recently bring its spam rate down to as low as 1%, the absolute volume of spam is still massive given its tens of millions of users. Dealing with spam introduces a number of Big Data challenges. The sheer size and scale of the data is enormous. In addition, spam in social media involves the need to understand very complex patterns of behavior as well as to identify new types of spam.
Make sure you check these 10 problems that can use Hadoop.
Original title and link: Hadoop Usecase: Figting Spam in Big Data (NoSQL databases © myNoSQL)
